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Making Convolutional Networks Shift-Invariant Again

Making Convolutional Networks Shift-Invariant Again

25 April 2019
Richard Y. Zhang
    OOD
ArXivPDFHTML

Papers citing "Making Convolutional Networks Shift-Invariant Again"

50 / 161 papers shown
Title
On Symmetries in Convolutional Weights
On Symmetries in Convolutional Weights
B. Alsallakh
Timothy Wroge
Vivek Miglani
Narine Kokhlikyan
48
0
0
24 Mar 2025
StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model
StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model
Peizhi Yan
Rabab Ward
Dan Wang
Qiang Tang
Shan Du
3DH
48
0
0
14 Mar 2025
Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing
Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing
chuan Wen
Guy Torfs
Sarah Verhulst
41
0
0
17 Feb 2025
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
Seongmin Hwang
Daeyoung Han
Cheolkon Jung
Moongu Jeon
78
5
0
20 Jan 2025
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Untrained Perceptual Loss for image denoising of line-like structures in MR images
Elisabeth Pfaehler
Daniel Pflugfelder
Hanno Scharr
29
0
0
08 Nov 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
44
2
0
18 Jul 2024
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen
Lin Gu
Ying Fu
39
23
0
08 Mar 2024
Fiducial Focus Augmentation for Facial Landmark Detection
Fiducial Focus Augmentation for Facial Landmark Detection
P. Kar
Vishal M. Chudasama
N. Onoe
Pankaj Wasnik
Vineeth N. Balasubramanian
ViT
38
2
0
23 Feb 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
90
3
0
12 Feb 2024
Combined Generative and Predictive Modeling for Speech Super-resolution
Combined Generative and Predictive Modeling for Speech Super-resolution
Heming Wang
Eric W. Healy
DeLiang Wang
DiffM
33
0
0
25 Jan 2024
3D Scene Geometry Estimation from 360$^\circ$ Imagery: A Survey
3D Scene Geometry Estimation from 360∘^\circ∘ Imagery: A Survey
T. L. T. D. Silveira
Paulo G. L. Pinto
Jeffri Murrugarra-Llerena
C. R. Jung
MDE
26
33
0
17 Jan 2024
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
27
3
0
20 Oct 2023
Efficient Integrators for Diffusion Generative Models
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
21
10
0
11 Oct 2023
A Generative Approach for Image Registration of Visible-Thermal (VT)
  Cancer Faces
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
Catherine Ordun
Alexandra N. Cha
Edward Raff
S. Purushotham
Karen Kwok
Mason Rule
J. Gulley
MedIm
27
0
0
23 Aug 2023
Solving Large-scale Spatial Problems with Convolutional Neural Networks
Solving Large-scale Spatial Problems with Convolutional Neural Networks
Damian Owerko
Charilaos I. Kanatsoulis
Alejandro Ribeiro
22
2
0
14 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
48
2
0
31 May 2023
Making Vision Transformers Truly Shift-Equivariant
Making Vision Transformers Truly Shift-Equivariant
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
36
7
0
25 May 2023
SING: A Plug-and-Play DNN Learning Technique
SING: A Plug-and-Play DNN Learning Technique
Adrien Courtois
Damien Scieur
Jean-Michel Morel
Pablo Arias
Thomas Eboli
33
0
0
25 May 2023
Multi-spectral Class Center Network for Face Manipulation Detection and
  Localization
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
Changtao Miao
Qi Chu
Zhentao Tan
Zhenchao Jin
Tao Gong
Wanyi Zhuang
Yuehua Wu
B. Liu
Honggang Hu
Nenghai Yu
CVBM
47
4
0
18 May 2023
FreConv: Frequency Branch-and-Integration Convolutional Networks
FreConv: Frequency Branch-and-Integration Convolutional Networks
Zhaowen Li
Xu Zhao
Peigeng Ding
Zongxin Gao
Yuting Yang
Ming Tang
Jinqiao Wang
29
2
0
10 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of
  Deep Nets
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
Jonas Ngnawé
Marianne Abémgnigni Njifon
Jonathan Heek
Yann N. Dauphin
OOD
21
4
0
06 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models?
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
26
7
0
05 Apr 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation
  Operators
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
Xin Zhang
Yuqi Song
Xiang Wang
Fei Zuo
MedIm
DiffM
15
2
0
03 Apr 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial
  Activations
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
H. Michaeli
T. Michaeli
Daniel Soudry
21
14
0
14 Mar 2023
Spatial Bias for Attention-free Non-local Neural Networks
Spatial Bias for Attention-free Non-local Neural Networks
Junhyung Go
Jongbin Ryu
SSL
27
10
0
24 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
34
5
0
22 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
34
179
0
19 Feb 2023
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
Catherine Ordun
Edward Raff
S. Purushotham
DiffM
29
6
0
18 Feb 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for
  Surgical Scene Understanding
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding
Mengya Xu
Mobarakol Islam
Ben Glocker
Hongliang Ren
31
1
0
22 Dec 2022
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate
  Surface Visual Quality Inspection Tailored for Real-World Manufacturing
  Environments
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
26
2
0
20 Dec 2022
Robust Perception through Equivariance
Robust Perception through Equivariance
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
29
7
0
12 Dec 2022
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
19
2
0
15 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSL
DRL
36
5
0
31 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
43
16
0
24 Oct 2022
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
32
1
0
20 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We
  Measure This?
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
51
8
0
07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
18
35
0
06 Oct 2022
Structure Guided Manifolds for Discovery of Disease Characteristics
Structure Guided Manifolds for Discovery of Disease Characteristics
Siyu Liu
Linfeng Liu
Xuan Vinh
Stuart Crozier
Craig B. Engstrom
F. Nasrallah
Shekhar S. Chandra
MedIm
23
0
0
22 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
35
6
0
20 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
38
2
0
19 Sep 2022
Transfering Low-Frequency Features for Domain Adaptation
Transfering Low-Frequency Features for Domain Adaptation
Zhaowen Li
Xu Zhao
Chaoyang Zhao
Ming Tang
Jinqiao Wang
41
7
0
31 Aug 2022
Shift Variance in Scene Text Detection
Shift Variance in Scene Text Detection
M. Glitzner
Jan-Hendrik Neudeck
Philipp Härtinger
18
0
0
19 Aug 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging
  Reconstruction
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction
Hong Peng
Chenbo Jiang
Jing Cheng
Minghui Zhang
Shanshan Wang
Dong Liang
Qiegen Liu
DiffM
MedIm
47
17
0
15 Aug 2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects
  in the Wild
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang
Deva Ramanan
Shubham Tulsiani
50
86
0
11 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative
  Models
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter
Simon Welker
Jean-Marie Lemercier
Bunlong Lay
Timo Gerkmann
DiffM
16
180
0
11 Aug 2022
Efficient CNN Architecture Design Guided by Visualization
Efficient CNN Architecture Design Guided by Visualization
Liangqi Zhang
Haibo Shen
Yihao Luo
Xiang Cao
Leixilan Pan
Tianjiang Wang
Qi Feng
33
5
0
21 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by
  Group Convolution
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution
Xinrui Zhan
Yang Li
Wenyu Liu
Jianke Zhu
30
0
0
23 Jun 2022
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPC
MedIm
29
19
0
06 Jun 2022
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